Inflatable Protective Fabric for Collaborative Robot Hazard Shielding
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Solution Overview
Problem
Existing collaborative robots (co-bots) lack effective protection mechanisms against hazardous events such as fire accidents and collisions, making them vulnerable and prone to damage during emergencies.
Innovation Solution
A collaborative robot equipped with an event detection unit using sensors like microphones, RGB cameras, and LIDAR, and a control unit that validates hazardous events, triggering the inflation of a protective fabric housed in a protective compartment to cover and safeguard the robot.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If collaborative robots are deployed to work alongside humans in shared workspaces, then productivity and automation efficiency are improved, but the robots become vulnerable to hazardous events such as fire accidents and collisions
Solution Approach 1:
The patent applies beforehand cushioning by incorporating a protective compartment with a protective fabric that can be inflated before the robot is fully damaged. The detection unit identifies hazardous events early, and the control unit activates the protective fabric in advance to cushion the robot against upcoming damage from fire, collisions, or other hazards.
Solution Approach 2:
The protective fabric acts as an intermediary between the hazardous external environment and the robot's vulnerable components. The fabric is housed in a protective compartment that serves as a mediator structure, deploying the fabric to intervene and protect the robot's electronic components, battery, and other sensitive parts from direct exposure to hazards.
2Reliability
If a protective mechanism is added to the collaborative robot, then reliability and protection are improved, but device complexity increases
Solution Approach 1:
The patent merges multiple functions into integrated components: the protective compartment houses both the protective fabric and the inflation mechanism together, the detection unit combines multiple sensors (fire detectors, collision sensors) into a single system, and the control unit coordinates all protective functions centrally. This merging reduces overall system complexity compared to having separate independent systems.
Solution Approach 2:
The protective fabric serves multiple functions: it protects against fire, collisions, and other hazardous events simultaneously. The detection unit is designed to detect various types of hazards (fire, collision, etc.) using a single integrated system. This multi-functionality reduces the need for separate specialized protection systems for each hazard type.
3Measurement precision
If validation of hazardous event detection is implemented, then false alarms are reduced, but response time may be delayed
Solution Approach 1:
The control unit implements partial validation by checking detection data against predefined criteria thresholds rather than requiring complete verification. For example, if a fire detector triggers, the system validates by checking if the detected parameters exceed a predefined fire hazard threshold, enabling rapid response without exhaustive verification.
Solution Approach 2:
The system uses feedback mechanisms where the detection unit continuously monitors the environment and provides real-time data to the control unit. The control unit compares this feedback against predefined safety criteria and triggers protection automatically when thresholds are exceeded, creating a closed-loop system that balances validation accuracy with rapid response.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The robot can automatically protect itself from hazardous events without human intervention, reducing damage and the need for frequent replacements, thus providing an economical solution.
Implementation Method 1
the control unit is configured to validate detection of the hazardous event and initiate inflation of the protective fabric upon validating the detection of the hazardous event
Data Source
AI summary
Disclosed herein is a collaborative robot and a method for protecting collaborative form hazardous events. The method comprises detecting hazardous event in a working environment of the collaborative robot. Thereafter, the detected hazardous event is validated. Once the validation is performed, the inflation of a protective fabric housed in a protective compartment of the collaborative robot is initiated, wherein upon inflation, the protective fabric covers the collaborative robot for protecting the collaborative robot from the hazardous event. The present invention is used for self-protection of the collaborative robot in hazardous events without any human intervention.